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Contact Details

Language Skills

Python
SQL
Docker
AWS/Cloud
Bash
R

Disclaimer

Made w/ pagedown.

Source code: github.com/shreyankpatil/ shreyank-cv.

Last updated on 2022-03-23.

Main

Shreyank Patil

I am a Data Scientist who is passionate about solving business problems using technology. I particularly enjoy building and automating machine learning solutions for both production and experimentation.

Throughout my career I have used the AWS stack extensively, including tools such as Sagemaker ML, ECS, EC2 and Athena. I have also had experience containerizing code to run machine learning experiments, and building pipelines to serve web applications.

I am currently looking for Data Scientist roles where I can work with an interesting tech stack to build awesome solutions.

Education

Master of Professional Studies in Data Science

University of Auckland

Auckland, NZ

2019

  • Graduated with First Class Honours
  • Thesis: A Study of Ticketing Prediction in the Events Industry
  • Research conducted in collaboration with Dexibit for partial fulfilment of Masters program
  • Conducted in-depth exploration of ticketing and events industry
  • Built machine learning models to predict ticketing sales
  • Presented findings to industry partner

Certificate of Proficiency, Data Science

University of Auckland

Auckland, NZ

2018

  • Fundamental courses in statistics and computer science

Bachelor of Engineering(Hons) in Mechanical Engineering

University of Auckland

Auckland, NZ

2016 - 2013

  • Honours Dissertation: Modelling and Control of Underwater Actuators for Floating Wind Turbines

Industry Experience

Data Scientist

L’Oreal

Melbourne, AU

2022 - 2021

  • L’Oreal is currently undergoing an analytics transformation, and as part of my role I am working on various analytics projects across the Luxury products division
  • I am tasked with helping improve the analytics maturity of the organisation
  • Conducted distribution modelling on our brands to determine long term strategy
  • Undertaking analysis of promotions and pricing for optimisation
  • Enrolled in the GCP Professional Machine Learning Engineer certification

Data Scientist

Dexibit

Auckland, NZ

2021 - 2019

  • Responsible for managing and running data science operational tasks for the product
  • Involved with improving forecast accuracy significantly across all customers
  • Aided in the research and development of insights for new product modules as well as leading customer validation conversations
  • Helped prototype and design a new simulation tool to help visitor attractions plan for COVID impact
  • Developed an experimentation platform to run parallel experiments at scale
  • Designed and started work on a feature store for more effective machine learning solutions

Fellow

Good Data Institute

Auckland, NZ

2021

  • The Good Data Institute (GDI) is a non-profit organisation leveraging the skills of data and analytics professionals to help non profits
  • As a Fellow at GDI, I am responsible for leading and coordinating volunteering efforts on projects
  • To date, I have worked on projects with Inclusive America, Arts Centre Melbourne and Progressive Shopper

Data Scientist Intern

Dexibit

Auckland, NZ

2019 - 2018

  • Worked as part of Masters project to research and develop machine learning models to expand forecasting capabilities of organisation
  • Delivered bespoke forecasts to customers on request